API Reference Section

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RidgeRun Video Stabilization Library

Table of Contents [Sticky]

• Basics and Foundation
  • What is Video Stabilization
  • Video Stabilization Process using IMU
  • Stabilization Algorithms with IMU
• Getting Started
  • Supported Platforms, Sensors and Backends
  • Evaluating the Library
  • Getting the Code
  • Building the Library
• API Reference
  • Library Architecture
  • Adding New Sensors
  • Adding Algorithms
  • Adding Stabilization Algorithm
  • Adding Backends
  • API Documentation
  • Examples Guidebook
• Library Integration for IMU
  • Preparing the Video
  • Preparing the IMU Measurements
  • Measurement Integration
  • Interpolation
  • Computing the Stabilization
  • Video Undistortion
  • Example Application
• GStreamer
  • Add Support for Video Timestamps
  • Add Support for IMU Sensors
  • Video Stabilizer Element
  • Example Pipelines
• Useful Links
  • BMI160 Setup
  • Performance
• Contact Us

This section will cover the foundations and bases of the API. Here, you can find information regarding:

• Library Architecture: describing the general structure of our library, the interface-adapter design pattern, the interfaces and concrete algorithms it currently contains.
• Information about Adding New Sensors: describing how to add new support for new IMU sensors, particularly understanding the sensor interface and how to create a concrete implementation (or adapter) to the new sensor.
• Information about Adding Algorithms: describing how to add new algorithms for integration and interpolation to the library. This explains the interfaces and how to implement new adapters for algorithm implementation.
• Information about Adding Stabilization Algorithms: describing how to add new algorithms for stabilization to the library. This explains the interfaces and how to implement new adapters for algorithm implementation.
• Information about Adding Backend: describing how to add new backends for hardware acceleration, explaining how to implement memory allocators, algorithms compatible with the memory allocators and all the functionality for image correction.
• API Documentation: with a link to the auto-generated API documentation.
• Examples Guidebook: describing the available examples and tests that illustrate how to interact with each library module.

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